• Journal of the Korea Safety Management & Science
• /
• v.12 no.3
• /
• pp.237-247
• /
• 2010

Global financial crisis at 2008 bring about the great change to the company itself and its environment. In these days, the company needs change to the ambidextrous organization, which have more efficiency processes also have more attractive products and services. Ambidextrous organization purse exploiting and exploration innovation program. For the existing process's incremental and rapid improvement, the exploiting innovation programs are used such as 6 Sigma program and so on. For the new business model's searching and developments, the exploration innovation programs are used such as blue ocean program and brainstorming and so on. In this paper is presented the new procedures, for the new business model development, combining exploration and exploiting innovation programs. To obtain the creative business ideas, various exploration methodologies are adopted based on 6 Sigma's methodology, The new procedures are applied to the venture company and examined its validity.

• Journal of the Korean Society of Industry Convergence
• /
• v.13 no.2
• /
• pp.107-112
• /
• 2010

The automation and Cell-Line of manufacturing process are going to be new trend in the industry spot. But workers bodily burden by manual labour is still doing repeatedly at many processes. It is appearing to workers bodily burden (Shoulder, waist, hand, wrist, leg) with repeating works at assembly line which is from the static working space. The analysis with 6 Sigma Tool at specific standard assembly line improve the point at issue for unsuitable items and analyzed objects. Physical pain of worker is solved by the improvement action for the factor of 7 items with the result of analysis. It was known to be improved by solving of workers burden related to the change of 6 Sigma level from 2.16 to 4.1 at assembly line.

• Korean Journal of Clinical Laboratory Science
• /
• v.36 no.2
• /
• pp.121-126
• /
• 2004

The primary goal of six sigma is to improve patient satisfaction, and thereby profitability, by reducing and eliminating defects. Defects may be related to any aspect of customer satisfaction: high product quality, schedule adherence, cost minimization, process capability indices, defects per unit, and yield. Many six sigma metrics can be mathematically related to the others. Literally, six means six standard deviations from the mean or median value. As applied to quality metrics, the term indicates that failures are at least six standard deviations from the mean or norm. This would mean about 3.4 failures per million opportunities for failure. The objective of six sigma quality is to reduce process output variation so that on a long term basis, which is the customer's aggregate experience with our process over time, this will result in no more than 3.4 defect Parts Per Million(PPM) opportunities (or 3.4 Defects Per Million Opportunities. For a process with only one specification limit (upper or lower), this results in six process standard deviations between the mean of the process and the customer's specification limit (hence, 6 Sigma). The results of applicative six sigma experiment studied on 18 items TP, ALB, T.B, ALP, AST, ALT, CL, CK, LD, K, Na, CRE, BUN, T.C, GLU, AML, CA tests in clinical chemistry were follows. Assessment of process performance fits within six sigma tolerance limits were TP, ALB, T.B, ALP, AST, ALT, CL, CK, LD, K, Na, CRE, BUN, T.C, GLU, AML, CA with 72.2%, items that fit within five sigma limits were total bilirubin, chloride and sodium were 3 sigma. We were sure that the goal of six sigma would reduce test variation in the process.

• Korean Journal of Remote Sensing
• /
• v.34 no.6_3
• /
• pp.1457-1468
• /
• 2018

The sigma naught (${\sigma}^0$) equation is essential to calculate geo-physical properties from Synthetic Aperture Radar (SAR) images for the applications such as ground target identification,surface classification, sea wind speed calculation, and soil moisture estimation. In this paper, we are suggesting new Kompsat-5 (K5) Radar Cross Section (RCS) and ${\sigma}^0$ equations reflecting the final SAR processor update and absolute radiometric calibration in order to increase the application of K5 SAR images. Firstly, we analyzed the accuracy of the K5 RCS equation by using trihedral corner reflectors installed in the Kompsat calibration site in Mongolia. The average difference between the calculated values using RCS equation and the measured values with K5 SAR processor was about $0.2dBm^2$ for Spotlight and Stripmap imaging modes. In addition, the verification of the K5 ${\sigma}^0$ equation was carried out using the TerraSAR-X (TSX) and Sentinel-1A (S-1A) SAR images over Amazon rainforest, where the backscattering characteristics are not significantly affected by the seasonal change. The calculated ${\sigma}^0$ difference between K5 and TSX/S-1A was less than 0.6 dB. Considering the K5 absolute radiometric accuracy requirement, which is 2.0 dB ($1{\sigma}$), the average difference of $0.2dBm^2$ for RCS equation and the maximum difference of 0.6 dB for ${\sigma}^0$ equation show that the accuracies of the suggested equations are relatively high. In the future, the validity of the suggested RCS and ${\sigma}^0$ equations is expected to be verified through the application such as sea wind speed calculation, where quantitative analysis is possible.

• Journal of the Korea Safety Management & Science
• /
• v.8 no.4
• /
• pp.129-149
• /
• 2006

Six sigma, contrary to TQM, offers the concrete process for accomplishing the management innovation. Nowadays it has become as a standard means. Many companies claim to stand for durable management and would like to get customers' satisfaction and more profit with total six sigma activities. Under the present conditions we propose how to maximize efficiency with six sigma application on transportation management that is an issue among many companies.

• Journal of the Institute of Electronics and Information Engineers
• /
• v.54 no.1
• /
• pp.26-32
• /
• 2017

This paper presents a low power and high resolution incremental delta-sigma ADC that utilizes a passive integrator instead of an opamp-based active integrator. Opamp is a power-hungry block that involves tight design tradeoffs. To avoid the use of active integrator, the s-domain characteristic of an active integrator is first analyzed. Based on the analysis, an active integrator with low gain design is proposed as an alternative design method. To save power even more aggressively, a passive integrator with no static current is proposed. A 1st order single-bit incremental delta-sigma ADC using the proposed passive integrator is implemented in a 65nm CMOS process. Transistor-level simulation shows that the ADC consumes only 0.6uW under 1.2V supply while achieving SNDR of 71dB with 22kHz bandwidth. The estimated total power consumption including digital filter is 6.25uW, and resulting power efficiency is on a par with state-of-the-art A/D converters.

• Journal of Korean Society for Quality Management
• /
• v.42 no.3
• /
• pp.509-522
• /
• 2014

Purpose: The purpose of this paper is to identify Six Sigma success factors and analyse the effects of Six Sigma success factors and innovation capability on innovation performance. Methods: The study build a research framework which include the variables of Six Sigma success factors, innovation capability, and innovation performance. A sample of 127 survey questionnaires is taken to test the proposal theoretical model through structural equations modeling using AMOS 20.0. Results: This study proves that there are the positive relationship between Six Sigma success factors, innovation capability, and innovation performance. It also confirms that there are the partial mediating effects of innovation capability between Six Sigma success factors and innovation performance. Conclusion: There are various factors affecting innovation performance of firms. This study provide the mechanism transformed from Sig Sigma to innovation performance.

• Journal of Korean Institute of Industrial Engineers
• /
• v.32 no.4
• /
• pp.298-313
• /
• 2006

Six sigma is focused on quality improvement through variation reduction, while lean is on process flow improvement and lead time reduction by waste elimination. However, lean cannot bring a process under statistical control and six sigma alone cannot dramatically improve process speed. Lean six sigma was developed to achieve faster rate of improvement in customer satisfaction, cost, quality, process speed, and invested capital. In this paper we present the importance of using value stream mapping and suggest a guideline on how to integrate lean and six sigma by is proposed.

• Journal of Korean Society for Quality Management
• /
• v.33 no.3
• /
• pp.105-113
• /
• 2005

Six sigma has been the most influential management innovation program in a number of leading companies and its application has extended beyond manufacturing processes. Most companies have taken company-wide six sigma initiatives to also improve transactional and R&D processes. However, due to the limitation of existing methodologies, numerous difficulties arise during the six sigma application to non-manufacturing processes. In this study, a modified six sigma framework is proposed to facilitate six sigma implementation to transactional processes. The newly developed framework is applied to a six sigma project of the new product launching process of a marketing area.

• International Journal of Quality Innovation
• /
• v.6 no.3
• /
• pp.121-131
• /
• 2005

Six Sigma uses DMAIC (Define, Measure, Analyze, Improve, Control) methodology as the process of a solving problem. Enterprises already propelling Six Sigma successfully, such as Motorola, GE and consulting companies, also traditionally propose DMAIC methodology. But, from activating Six Sigma, enterprises and Six Sigma-consulting companies propose Six Sigma methodology matching indirection part of office and R&D part. As an example, DFSS (Design For Six Sigma) is part of R&D application in GE. This study investigates Six Sigma methodology corresponding to the Right Process of the kernel factor. Especially for the optimum design of R&D, the study revises the definition of DFSS and the general organization through Lean DFSS methodology research and analysis.